{"id":"W2302038194","doi":"10.1117/12.2211276","title":"Scalable structural color printing using pixelated nanostructures in RGB primary colors","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pixel; RGB color model; Structural coloration; Color filter array; Subtractive color; Materials science; Computer science; Nanostructure; Inkwell; Primary color; Color space; Artificial intelligence; Color gel; Nanotechnology; Optoelectronics; Optics; Layer (electronics); Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169855,0.0002990071,0.0002330972,0.0001836819,0.0001360754,0.0003951559,0.000396897,0.0003097774,0.001382073],"category_scores_gemma":[0.0002426487,0.0002330476,0.0002642431,0.0001667578,0.0002373056,0.0004135457,0.0003284283,0.0004842549,0.0006756216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422633,"about_ca_system_score_gemma":0.0001325277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960039,"about_ca_topic_score_gemma":0.0005109037,"domain_scores_codex":[0.9998614,0.000008573992,0.000008251703,0.00004897785,0.00005844014,0.00001447468],"domain_scores_gemma":[0.999871,0.00003444941,0.00002460686,0.00003393555,0.0000263093,0.000009708744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000012507,0.00001142532,0.00005837236,0.00005731429,0.000002471796,0.00005064475,0.00002214597,0.0003678416,0.9932941,0.0004274645,0.0001212421,0.005574439],"study_design_scores_gemma":[0.000003472604,0.00004481471,0.0003114218,0.000003613138,0.000004679795,0.0001344642,0.000007588186,0.003552491,0.9937536,0.0001159254,0.002062922,0.000005011831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7095671,0.00237472,0.261697,0.0002507376,0.0003836929,0.0001587919,0.0005068837,0.002439183,0.02262184],"genre_scores_gemma":[0.7350105,0.001153138,0.2568431,0.0001150194,0.00003359691,0.00008504051,0.00019108,0.0001498598,0.006418806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001382073,"threshold_uncertainty_score":0.004623532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009561792612517462,"score_gpt":0.2135587918212106,"score_spread":0.2039969992086931,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}